Distributed multi-agent interaction generation with imagined potential games
Interactive behavior modeling of multiple agents is an essential challenge in simulation,
especially in scenarios when agents need to avoid collisions and cooperate at the same …
especially in scenarios when agents need to avoid collisions and cooperate at the same …
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems
X Chen, X Han, M Zhu, X Chu, PH Tiu, X Zheng… - arXiv preprint arXiv …, 2024 - arxiv.org
In the realm of driving technologies, fully autonomous vehicles have not been widely
adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing …
adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing …
Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion
Generating realistic and controllable agent behaviors in traffic simulation is crucial for the
development of autonomous vehicles. This problem is often formulated as imitation learning …
development of autonomous vehicles. This problem is often formulated as imitation learning …
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Evaluating autonomous vehicle stacks (AVs) in simulation typically involves replaying
driving logs from real-world recorded traffic. However, agents replayed from offline data do …
driving logs from real-world recorded traffic. However, agents replayed from offline data do …